Title |
Avoidance of Novelty Contributes to the Uncanny Valley
|
---|---|
Published in |
Frontiers in Psychology, October 2017
|
DOI | 10.3389/fpsyg.2017.01792 |
Pubmed ID | |
Authors |
Kyoshiro Sasaki, Keiko Ihaya, Yuki Yamada |
Abstract |
A hypothesis suggests that objects with a high degree of visual similarity to real humans trigger negative impressions (i.e., the uncanny valley). Previous studies have suggested that difficulty in object categorization elicits negative emotional reactions to enable the avoidance of potential threats. The present study further investigated this categorization-difficulty hypothesis. In an experiment, observers categorized morphed images of photographs and human doll faces as "photograph" or "doll" and evaluated the perceived eeriness of the images. Additionally, we asked the observers to answer questionnaires on behavioral inhibition systems (BIS). The results indicated that individual differences in the BIS score were associated with enhanced eeriness in the objects with a specific human likeness. These findings suggest that the tendency to avoid a potentially threatening novel experience contributes to promoting the perceived eeriness of objects with some degree of visual similarity to real humans. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 33% |
United Kingdom | 1 | 17% |
Canada | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 18% |
Student > Master | 9 | 18% |
Student > Bachelor | 3 | 6% |
Student > Doctoral Student | 3 | 6% |
Other | 3 | 6% |
Other | 7 | 14% |
Unknown | 16 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 14 | 28% |
Neuroscience | 5 | 10% |
Computer Science | 3 | 6% |
Decision Sciences | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Other | 4 | 8% |
Unknown | 19 | 38% |